Enjy Abouzeid
Biographic Data
| ID | 6789993 |
|---|---|
| NAME | Enjy Abouzeid |
| GIVEN NAMES | Enjy |
| FAMILY NAME | Abouzeid |
| SIGNATURE | ABOUZEID E |
| AFFILIATIONS | Suez Canal University |
| ORCID | 0000-0002-9431-6019 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Assessment of faculty members’ perceptions towards community-oriented health professions education in Egypt
AI-assisted script concordance tests
WHAT WAS THE EDUCATIONAL CHALLENGE?: The Script Concordance Test (SCT) assesses clinical reasoning by evaluating responses to uncertain scenarios against expert clinician panels. Unlike traditional multiple-choice questions (MCQs), SCTs measure how examinees structure their knowledge in complex, evolving contexts. Grounded in script theory, SCTs capture the cognitive networks clinicians develop through experience, allowing assessment of real-worl…
AI-assisted case builder
Developing high-quality problem-based learning (PBL) cases remains a significant challenge in medical education. It is resource-intensive and competes with faculty responsibilities in teaching, clinical care, research, and administration. As a result, many institutions struggle to generate sufficient cases to sustain active learning. The emergence of artificial intelligence (AI) and large language models (LLMs) offers a potential solution. We int…
Introducing AI as members of script concordance test expert reference panel
BACKGROUND: The Script Concordance Test (SCT) is increasingly used in professional development to assess clinical reasoning, with linear progression in SCT performance observed as clinical experience increases. One challenge in implementing SCT is the potential burnout of expert reference panel (ERP) members. To address this, we introduced ChatGPT as panel members. The aim was to enhance the efficiency of SCT creation while maintaining educationa…
Bad Apples or Bad Barrels? Undergraduate Medical Students’ Attitude Towards Plagiarism
Online training in entrustable professional activities and work place‐based assessment (portfolio) for clinical educators
Using AI to produce problem‐based learning cases
No Abstract is available for this article
No prominent works on this page.
Using AI to produce problem‐based learning cases
No Abstract is available for this article
Online training in entrustable professional activities and work place‐based assessment (portfolio) for clinical educators
Introducing AI as members of script concordance test expert reference panel
BACKGROUND: The Script Concordance Test (SCT) is increasingly used in professional development to assess clinical reasoning, with linear progression in SCT performance observed as clinical experience increases. One challenge in implementing SCT is the potential burnout of expert reference panel (ERP) members. To address this, we introduced ChatGPT as panel members. The aim was to enhance the efficiency of SCT creation while maintaining educationa…
Bad Apples or Bad Barrels? Undergraduate Medical Students’ Attitude Towards Plagiarism
Assessment of faculty members’ perceptions towards community-oriented health professions education in Egypt
AI-assisted script concordance tests
WHAT WAS THE EDUCATIONAL CHALLENGE?: The Script Concordance Test (SCT) assesses clinical reasoning by evaluating responses to uncertain scenarios against expert clinician panels. Unlike traditional multiple-choice questions (MCQs), SCTs measure how examinees structure their knowledge in complex, evolving contexts. Grounded in script theory, SCTs capture the cognitive networks clinicians develop through experience, allowing assessment of real-worl…
AI-assisted case builder
Developing high-quality problem-based learning (PBL) cases remains a significant challenge in medical education. It is resource-intensive and competes with faculty responsibilities in teaching, clinical care, research, and administration. As a result, many institutions struggle to generate sufficient cases to sustain active learning. The emergence of artificial intelligence (AI) and large language models (LLMs) offers a potential solution. We int…
Artificial Intelligence in Healthcare and Education (5 works) · Clinical Reasoning and Diagnostic Skills (4 works) · Computer Science (4 works) · Medicine (3 works) · Psychology (3 works) · Citation (2 works) · Concordance (2 works) · Curriculum (2 works) · Innovations in Medical Education (2 works) · Library science (2 works)